Data Science & Analytics with Python

Description

Gain the skills to analyze, visualize, and interpret data effectively using Python and industry-standard tools. This hands-on course covers data cleaning, statistical modeling, and visualization techniques, helping you turn raw data into meaningful insights.

📌 What’s Included:

🎥 12+ Hours of HD Video Tutorials – Step-by-step data analysis techniques.

📊 Practical Datasets & Case Studies – Work with real-world datasets from finance, healthcare, and marketing.

📚 Downloadable Workbooks & Checklists – Data wrangling, visualization best practices, and statistical modeling.

📝 Interactive Jupyter Notebooks – Pre-written Python scripts for hands-on learning.

🎓 Certificate of Completion – Showcase your expertise in data analysis.

📌 Course Modules:

✅ Data Cleaning & Preprocessing – Handling missing values, outliers, and data transformation.

✅ Exploratory Data Analysis (EDA) – Identifying trends and patterns in datasets.

✅ Data Visualization – Master Matplotlib, Seaborn, and Plotly for insightful visual storytelling.

✅ Statistical Modeling & Hypothesis Testing – Understand key metrics, probability distributions, and correlation analysis.

✅ Machine Learning for Data Analysis – Introduction to predictive modeling with Scikit-Learn.